Data Engineer
November 10
Description
• Working experience in data integration and pipeline development.
Requirements
• 3+ years of relevant experience with AWS Cloud on data integration with Databricks, Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems. • Strong real-life experience in python development, especially in pySpark, in the AWS Cloud environment. • Design, develop, test, deploy, maintain and improve data integration pipeline. • Experience in Python and common python libraries. • Strong analytical experience with the database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc. • Strong experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
Benefits
• You'll get to work in one of the hottest & fastest-growing retail technologies in Europe right now. • You'll get paid a competitive salary & be working directly with a super-experienced team of people. • You'll get a great place to come to work every day. • Varied, complex, challenging & with a great culture that you can shape & change. • Group Health Insurance
Apply NowSimilar Jobs
November 10
Expand and optimize data architecture for Tangoe's product development.
November 10
Data Engineer to build core data products at Forbes Advisor.
October 25
Data Engineer at TwiningsOvo focusing on building data pipelines and modeling.
October 12
NextHire
11 - 50
MResult seeks a CDP-Data Engineer experienced in Microsoft customer data platform.
September 20
Optimize data architecture for Watkins Wellness's analytics and reporting goals.